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--- |
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dataset_info: |
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features: |
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- name: image |
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dtype: image |
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- name: label |
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dtype: |
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class_label: |
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names: |
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'0': apple pie |
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'1': baby back ribs |
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'2': baklava |
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'3': beef carpaccio |
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'4': beef tartare |
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'5': beet salad |
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'6': beignets |
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'7': bibimbap |
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'8': bread pudding |
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'9': breakfast burrito |
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'10': bruschetta |
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'11': caesar salad |
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'12': cannoli |
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'13': caprese salad |
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'14': carrot cake |
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'15': ceviche |
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'16': cheesecake |
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'17': cheese plate |
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'18': chicken curry |
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'19': chicken quesadilla |
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'20': chicken wings |
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'21': chocolate cake |
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'22': chocolate mousse |
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'23': churros |
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'24': clam chowder |
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'25': club sandwich |
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'26': crab cakes |
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'27': creme brulee |
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'28': croque madame |
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'29': cup cakes |
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'30': deviled eggs |
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'31': donuts |
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'32': dumplings |
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'33': edamame |
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'34': eggs benedict |
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'35': escargots |
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'36': falafel |
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'37': filet mignon |
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'38': fish and chips |
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'39': foie gras |
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'40': french fries |
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'41': french onion soup |
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'42': french toast |
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'43': fried calamari |
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'44': fried rice |
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'45': frozen yogurt |
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'46': garlic bread |
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'47': gnocchi |
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'48': greek salad |
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'49': grilled cheese sandwich |
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'50': grilled salmon |
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'51': guacamole |
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'52': gyoza |
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'53': hamburger |
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'54': hot and sour soup |
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'55': hot dog |
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'56': huevos rancheros |
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'57': hummus |
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'58': ice cream |
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'59': lasagna |
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'60': lobster bisque |
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'61': lobster roll sandwich |
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'62': macaroni and cheese |
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'63': macarons |
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'64': miso soup |
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'65': mussels |
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'66': nachos |
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'67': omelette |
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'68': onion rings |
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'69': oysters |
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'70': pad thai |
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'71': paella |
|
'72': pancakes |
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'73': panna cotta |
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'74': peking duck |
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'75': pho |
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'76': pizza |
|
'77': pork chop |
|
'78': poutine |
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'79': prime rib |
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'80': pulled pork sandwich |
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'81': ramen |
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'82': ravioli |
|
'83': red velvet cake |
|
'84': risotto |
|
'85': samosa |
|
'86': sashimi |
|
'87': scallops |
|
'88': seaweed salad |
|
'89': shrimp and grits |
|
'90': spaghetti bolognese |
|
'91': spaghetti carbonara |
|
'92': spring rolls |
|
'93': steak |
|
'94': strawberry shortcake |
|
'95': sushi |
|
'96': tacos |
|
'97': takoyaki |
|
'98': tiramisu |
|
'99': tuna tartare |
|
'100': waffles |
|
- name: id |
|
dtype: int64 |
|
- name: clip_tags_ViT_L_14_with_openai_classes |
|
sequence: string |
|
- name: clip_tags_ViT_L_14_wo_openai_classes |
|
sequence: string |
|
- name: clip_tags_ViT_L_14_simple_specific |
|
dtype: string |
|
- name: clip_tags_ViT_L_14_ensemble_specific |
|
dtype: string |
|
- name: clip_tags_ViT_B_16_simple_specific |
|
dtype: string |
|
- name: clip_tags_ViT_B_16_ensemble_specific |
|
dtype: string |
|
- name: clip_tags_ViT_B_32_simple_specific |
|
dtype: string |
|
- name: clip_tags_ViT_B_32_ensemble_specific |
|
dtype: string |
|
- name: Attributes_ViT_L_14_descriptors_text_davinci_003_full |
|
sequence: string |
|
- name: Attributes_LAION_ViT_H_14_2B_descriptors_text_davinci_003_full |
|
sequence: string |
|
- name: clip_tags_LAION_ViT_H_14_2B_simple_specific |
|
dtype: string |
|
- name: clip_tags_LAION_ViT_H_14_2B_ensemble_specific |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 3906035933.0 |
|
num_examples: 75750 |
|
download_size: 3802666577 |
|
dataset_size: 3906035933.0 |
|
--- |
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# Dataset Card for "Food101_train" |
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|
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[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |